Public bake-off · classify
Best small model for Classify the sentiment of a customer message as positive or negative
Winner: distilbert/distilbert-base-uncased-finetuned-sst-2-english incumbent
Resident family incumbents were compared on the submitted labels.
Bake-off bo_e8517bc70328d83f4a8afe69e30f2f13 ·
Scorecard
| Rank | Model | Metrics | Predicted vs expected | Latency | Status |
|---|---|---|---|---|---|
| 1 | distilbert/distilbert-base-uncased-finetuned-sst-2-englishincumbentwinner | accuracy 1.0macro_f1 1.0n 4 |
| 154 ms | scored |
| 2 | lxyuan/distilbert-base-multilingual-cased-sentiments-studentincumbent | accuracy 1.0macro_f1 1.0n 4 |
| 236 ms | scored |
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sha256:0638b50aee7c6d49bbe4ac348478d44ae4cc73950dbf265a3e77aae11e345a7b
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[](https://run.huggingbay.xyz/bakeoffs/bo_e8517bc70328d83f4a8afe69e30f2f13)
Reproduce it
The first bake-off is anonymous. Run the same labeled request directly:
curl -sS https://run.huggingbay.xyz/v1/bakeoff -H 'Content-Type: application/json' --data '{"task_description":"Classify the sentiment of a customer message as positive or negative","examples":[{"input":"I love this, it works perfectly","expected":"positive"},{"input":"This broke after two days and support ignored me","expected":"negative"},{"input":"Absolutely fantastic","expected":"positive"},{"input":"Awful, would not recommend","expected":"negative"}]}'